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Details van artikel 146 van 152 gevonden artikelen
| Titel: |
Updating and Estimating a Social Accounting Matrix Using Cross Entropy Methods |
| Auteur: |
Robinson, Sherman Cattaneo, Andrea El-Said, Moataz |
| Verschenen in: |
Economic systems research |
| Paginering: | Jaargang 13 (2001) nr. 1 pagina's 47-64 |
| Jaar: |
2001-03-01 |
| Inhoud: |
The problem in estimating a social accounting matrix (SAM) for a recent year is to find an efficient and cost-effective way to incorporate and reconcile information from a variety of sources, including data from prior years. Based on information theory, the paper presents a flexible 'cross entropy' (CE) approach to estimating a consistent SAM starting from inconsistent data estimated with error, a common experience in many countries. The method represents an efficient information processing rule-using only and all information available. It allows incorporating errors in variables, inequality constraints, and prior knowledge about any part of the SAM. An example is presented, applying the CE approach to data from Mozambique, using a Monte Carlo approach to compare the CE approach to the standard RAS method and to evaluate the gains in precision from utilizing additional information. |
| Uitgever: |
Routledge |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
Details van artikel 146 van 152 gevonden artikelen
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